Intelligent Prediction for Cargo Traffic Routing (iPrediCTOR)

货运量智能预测优化路线(IPredictor)项目由海平面研究公司领导，旨在产生本地优化的海平面预测，以降低港口、航运和海上能源行业的成本。该项目将尖端的机器学习技术与潮汐测量仪、海洋天气数据和云计算基础设施的观测相结合，从天气预报中生成精确的海平面预测。这些预测解释了涨潮的原因，将带来许多重大好处：改进船舶调度，从而降低燃料和运营成本；优化港口物流和货物装载，从而提高供应链效率；更好地安排中断行程较少的离岸能源公司的维护访问，从而降低风力发电场和潮汐能生产的运营成本；以及更大的航行安全，因为龙骨下的水量将更准确地了解。随着集装箱化的持续发展，船舶变得越来越大，海上可再生能源的巨大扩张，准确预测系统的开发将促进最佳决策和降低成本。

The Intelligent Prediction for Cargo Traffic Optimised Routing (iPrediCTOR) project is led by Sea Level Research and aims to produce locally optimised sea level predictions to reduce costs in the port, shipping and offshore energy industries. The project combines cutting edge Machine Learning techniques with observations from tide gauges and marine weather data and cloud computing infrastructure to generate precise sea level predictions from weather forecasts. These predictions, which account for the surge on top of the tide, will deliver a number of major benefits: Improved scheduling for ships, leading to reduced fuel and operating costs; optimisation of port logistics and cargo loading, leading to a more efficient supply chain; better scheduling of maintenance visits for offshore energy companies with less aborted trips, leading to reduced operating costs for wind farms and tidal energy production; and greater navigational safety since the amount of water under keel will be more accurately known. With containerisation continuing to grow, ships becoming ever bigger and the vast expansion of offshore renewable energy the development of an accurate prediction system will facilitate optimal decision making and reduced costs.